Content-Aware Image Frame Extension for Rotation Alignment
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Solution Overview
Problem
Traditional digital image editing techniques require manual cropping and rotating, leading to loss of desirable image portions and complexity in aligning scenes, as they do not effectively handle perspective distortions or irregularly shaped empty areas when rotating images.
Innovation Solution
A system and method that automatically determines empty areas in images during rotation and applies a content-aware fill operation to extend the image frame, allowing users to rotate and fill images without losing original content, using a user interface that dynamically updates the image and frame to track the image's corners and apply a content-aware fill operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual cropping and rotating is used to align images, then users can control the alignment process, but desirable portions of the image are lost and the workflow becomes complex
Solution Approach 1:
The system automatically performs the content-aware fill operation to extend the image frame after rotation, eliminating the need for users to manually fill empty areas. The system self-completes the image extension process by analyzing the rotated image and generating appropriate content to fill boundaries, thus reducing user effort while preserving original image content.
Solution Approach 2:
The system performs the content-aware fill operation automatically after rotation, proactively completing the image extension before the user would need to manually intervene. This preliminary automated action prevents the need for subsequent manual filling steps and ensures desirable image portions are preserved.
2Productivity
If traditional manual cropping is used, then users can select crop boundaries, but the process requires multiple steps and is time-consuming
Solution Approach 1:
The system merges the rotation and content-aware fill operations into a single integrated workflow. Instead of requiring separate steps for rotating, cropping, and filling, the system combines these operations so that rotation automatically triggers the content-aware fill to extend the frame, reducing the total number of steps while maintaining editing precision.
Solution Approach 2:
The system automatically determines the empty areas and applies content-aware fill without requiring users to manually define crop boundaries or filling parameters. This self-service approach streamlines the editing process by eliminating multiple manual steps and reducing the overall complexity of the workflow.
3Manufacturing precision
If image rotation is applied to correct perspective distortion, then alignment improves, but empty areas are created that require manual filling
Solution Approach 1:
The system automatically performs the frame extension operation after rotation by applying content-aware fill to the empty areas created during rotation. This self-service mechanism eliminates the need for users to manually handle the frame extension, maintaining alignment precision while simplifying the overall operation.
Solution Approach 2:
The system uses feedback from the rotated image to automatically determine the empty areas and apply appropriate content-aware fill operations. The feedback loop ensures that the fill operation is precisely targeted at the correct empty regions, maintaining alignment accuracy while automating the frame extension process.
Data Source
AI summary
A system and method for extending bounds of straightened and enlarged images is described. A user interface of an image editing application exposes an image to a user for editing. The user positions the image in the user interface and the image editing application generates a frame in the user interface to identify boundaries of a final image in the user interface. The image editing application then automatically determines an empty area within the frame, applies a fill operation to the empty area within the frame, and updates the image in the user interface to reflect results of the fill operation.